{"id":"W2335161216","doi":"10.1190/segam2015-5861135.1","title":"Using well logs to estimate the effect of fine layering on Q estimation","year":2015,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Layering; Estimation; Computer science; Geology; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691092,0.00051546,0.0002835966,0.0008068868,0.0001393455,0.0005804691,0.0004049333,0.0003598667,0.000606388],"category_scores_gemma":[0.007340734,0.0002532908,0.0002924167,0.0004445151,0.0002470338,0.0009429456,0.0003567316,0.0002651628,0.0002201794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167626,"about_ca_system_score_gemma":0.000249349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004737073,"about_ca_topic_score_gemma":0.007288319,"domain_scores_codex":[0.9994281,0.0002133205,0.00005024955,0.00009452202,0.0001658578,0.000047908],"domain_scores_gemma":[0.9959115,0.002210241,0.0005699447,0.0007018928,0.0005194196,0.00008701748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001276008,0.0003117028,0.2695458,0.0001810939,0.0001972947,0.0003477194,0.0003286545,0.3468678,0.2547894,0.001084332,0.0004581273,0.124612],"study_design_scores_gemma":[0.00002565785,0.0005153565,0.1285608,0.00001978054,0.00006242732,0.000147274,0.000131206,0.7263041,0.1418925,0.001274154,0.000991013,0.00007577849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785763,0.0000878318,0.1199658,0.00002662353,0.00001249014,0.00003807565,0.0002500593,0.0005386039,0.0005041761],"genre_scores_gemma":[0.9737262,0.00003495719,0.02580488,0.00001207061,0.000001985334,0.00001321896,0.0002070099,0.00002782544,0.00017192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004737073,"threshold_uncertainty_score":0.009419024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311437011688723,"score_gpt":0.3003172594551083,"score_spread":0.2691735582862361,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}